Environment:
Ubuntu 22.04
Python 3.11.8
Pytorch 2.2.1
Pytorch Geometric 2.5.0
I am trying to compile my model but I always have errors, I tried with all modes and with dynamic=True, but it doesn’t change. These are the logs with TORCH_LOGS=“recompiles”.
[2024-03-06 15:35:13,994] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:281
[2024-03-06 15:35:13,994] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:13,994] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[‘x’]’ size mismatch at index 0. expected 200, actual 37
[2024-03-06 15:35:14,075] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function forward in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:95
[2024-03-06 15:35:14,075] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:14,075] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[‘x’]’ size mismatch at index 0. expected 200, actual 37
[2024-03-06 15:35:14,409] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function add_self_loops in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/utils/loop.py:382
[2024-03-06 15:35:14,409] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:14,409] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘num_nodes’] == 200 # elif isinstance(num_nodes, (tuple, list)): # torch_geometric/utils/loop.py:455 in add_self_loops
[2024-03-06 15:35:14,525] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function new in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/edge_index.py:260
[2024-03-06 15:35:14,525] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:14,525] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘sparse_size’][0] == 200 # if sparse_size is None: # torch_geometric/edge_index.py:326 in new
[2024-03-06 15:35:14,579] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_add_self_loops in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/utils/loop.py:466
[2024-03-06 15:35:14,579] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:14,579] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[‘edge_index’]’ stride mismatch at index 0. expected 174, actual 36
[2024-03-06 15:35:14,595] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function cat in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/edge_index.py:1193
[2024-03-06 15:35:14,595] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:14,595] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[‘tensors’][0]’ stride mismatch at index 0. expected 174, actual 36
[2024-03-06 15:35:14,611] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_add_self_loops in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/utils/loop.py:471
[2024-03-06 15:35:14,611] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:14,611] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘N’] == 200 # size = (num_nodes, ) + edge_attr.size()[1:] # torch_geometric/utils/loop.py:750 in compute_loop_attr
[2024-03-06 15:35:14,735] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_forward in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:102
[2024-03-06 15:35:14,735] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:14,735] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[‘x’]’ size mismatch at index 0. expected 200, actual 37
[2024-03-06 15:35:14,859] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function propagate in /home/eborzone/.cache/pyg/message_passing/model_EdgeConv_propagate.py:135
[2024-03-06 15:35:14,859] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:14,859] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[‘x’]’ size mismatch at index 0. expected 200, actual 37
[2024-03-06 15:35:15,234] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:112
[2024-03-06 15:35:15,234] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:15,234] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[‘x_i’]’ size mismatch at index 0. expected 374, actual 73
[2024-03-06 15:35:16,080] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:142
[2024-03-06 15:35:16,080] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:16,080] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[‘i’]’ size mismatch at index 0. expected 374, actual 73
[2024-03-06 15:35:16,270] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:143
[2024-03-06 15:35:16,270] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:16,270] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[‘i’]’ size mismatch at index 0. expected 374, actual 73
[2024-03-06 15:35:16,410] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:143
[2024-03-06 15:35:16,410] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:16,410] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[‘weight’]’ size mismatch at index 0. expected 374, actual 73
[2024-03-06 15:35:16,489] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:150
[2024-03-06 15:35:16,489] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:16,489] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[‘i’]’ size mismatch at index 0. expected 374, actual 73
[2024-03-06 15:35:16,701] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:151
[2024-03-06 15:35:16,701] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:16,701] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[‘i’]’ size mismatch at index 0. expected 374, actual 73
[2024-03-06 15:35:16,853] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_propagate in /home/eborzone/.cache/pyg/message_passing/model_EdgeConv_propagate.py:196
[2024-03-06 15:35:16,853] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:16,853] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘kwargs’][6] == 200 # index=kwargs.index, # .cache/pyg/message_passing/model_EdgeConv_propagate.py:241 in resume_in_propagate
[2024-03-06 15:35:17,173] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:290
[2024-03-06 15:35:17,173] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:17,173] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[‘masks’]’ size mismatch at index 0. expected 200, actual 37
[2024-03-06 15:35:17,328] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:296
[2024-03-06 15:35:17,328] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:17,328] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘batch_size’] == 13 # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1]) # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict
[2024-03-06 15:35:20,347] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function propagate in /home/eborzone/.cache/pyg/message_passing/model_EdgeConv_propagate.py:135
[2024-03-06 15:35:20,347] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:20,347] torch._dynamo.guards.__recompiles: [DEBUG] - Ne(Mod(8L[‘edge_index’].size()[1], 16), 0) # _dynamo/output_graph.py:371 in init_ambient_guards
[2024-03-06 15:35:20,347] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[‘x’]’ size mismatch at index 0. expected 200, actual 224
[2024-03-06 15:35:20,768] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_propagate in /home/eborzone/.cache/pyg/message_passing/model_EdgeConv_propagate.py:196
[2024-03-06 15:35:20,768] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:20,768] torch._dynamo.guards.__recompiles: [DEBUG] - Ne(Mod(8L[‘kwargs’][4].storage_offset(), 16), 0) # _dynamo/output_graph.py:371 in init_ambient_guards
[2024-03-06 15:35:20,768] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘kwargs’][6] == 200 # index=kwargs.index, # .cache/pyg/message_passing/model_EdgeConv_propagate.py:241 in resume_in_propagate
[2024-03-06 15:35:21,040] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:296
[2024-03-06 15:35:21,040] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:21,040] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 6, actual 30
[2024-03-06 15:35:21,040] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘batch_size’] == 13 # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1]) # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict
[2024-03-06 15:35:22,466] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:296
[2024-03-06 15:35:22,466] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:22,466] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 30, actual 2
[2024-03-06 15:35:22,466] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 6, actual 2
[2024-03-06 15:35:22,466] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘batch_size’] == 13 # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1]) # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict
[2024-03-06 15:35:24,612] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:296
[2024-03-06 15:35:24,612] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:24,612] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘batch_size’] == 1 # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1]) # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict
[2024-03-06 15:35:24,612] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 30, actual 32
[2024-03-06 15:35:24,612] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 6, actual 32
[2024-03-06 15:35:24,612] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘batch_size’] == 13 # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1]) # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict
[2024-03-06 15:35:26,731] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:296
[2024-03-06 15:35:26,731] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:26,731] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 32, actual 26
[2024-03-06 15:35:26,731] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘batch_size’] == 1 # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1]) # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict
[2024-03-06 15:35:26,731] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 30, actual 26
[2024-03-06 15:35:26,731] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 6, actual 26
[2024-03-06 15:35:26,731] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[‘X’]’ size mismatch at index 0. expected 200, actual 205
[2024-03-06 15:35:28,557] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:296
[2024-03-06 15:35:28,557] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:28,557] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 6, actual 28
[2024-03-06 15:35:28,557] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 26, actual 28
[2024-03-06 15:35:28,557] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 32, actual 28
[2024-03-06 15:35:28,557] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘batch_size’] == 1 # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1]) # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict
[2024-03-06 15:35:28,557] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 30, actual 28
[2024-03-06 15:35:28,557] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘batch_size’] == 13 # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1]) # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:296
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 28, actual 4
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 6, actual 4
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 26, actual 4
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 32, actual 4
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘batch_size’] == 1 # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1]) # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 30, actual 4
[2024-03-06 15:35:29,810] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘batch_size’] == 13 # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1]) # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:296
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘batch_size’] == 1 # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1]) # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 30, actual 20
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 6, actual 20
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 26, actual 20
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 4, actual 20
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 28, actual 20
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG] - tensor ‘L[’___stack0’]’ size mismatch at index 0. expected 32, actual 20
[2024-03-06 15:35:32,201] torch._dynamo.guards.__recompiles: [DEBUG] - L[‘batch_size’] == 13 # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1]) # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict
[2024-03-06 15:35:32,202] torch._dynamo.convert_frame: [WARNING] torch._dynamo hit config.cache_size_limit (8)
[2024-03-06 15:35:32,202] torch._dynamo.convert_frame: [WARNING] function: ‘resume_in_predict’ (/home/eborzone/Documentos/GraphEmbedderBoost/model.py:296)
[2024-03-06 15:35:32,202] torch._dynamo.convert_frame: [WARNING] last reason: L[‘batch_size’] == 13 # X = X[masks,:].reshape(batch_size, 1, 2, X.shape[1]) # Documentos/GraphEmbedderBoost/model.py:296 in resume_in_predict
[2024-03-06 15:35:32,202] torch._dynamo.convert_frame: [WARNING] To log all recompilation reasons, use TORCH_LOGS=“recompiles”.
[2024-03-06 15:35:32,202] torch._dynamo.convert_frame: [WARNING] To diagnose recompilation issues, see PyTorch 2.0 Troubleshooting — PyTorch master documentation.
[2024-03-06 15:37:41,921] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:281
[2024-03-06 15:37:41,921] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:37:41,921] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:41,921] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:41,998] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function forward in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:95
[2024-03-06 15:37:41,998] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:37:41,998] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:41,998] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,131] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function add_self_loops in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/utils/loop.py:382
[2024-03-06 15:37:42,131] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:37:42,131] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,131] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,224] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function new in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/edge_index.py:260
[2024-03-06 15:37:42,224] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:37:42,224] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,224] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,281] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_add_self_loops in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/utils/loop.py:466
[2024-03-06 15:37:42,281] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:37:42,281] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,281] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,296] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function cat in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/edge_index.py:1193
[2024-03-06 15:37:42,296] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:37:42,296] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,296] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,313] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_add_self_loops in /home/eborzone/anaconda3/envs/graph_env/lib/python3.11/site-packages/torch_geometric/utils/loop.py:471
[2024-03-06 15:37:42,313] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:37:42,313] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,313] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,430] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_forward in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:102
[2024-03-06 15:37:42,430] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:37:42,430] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,430] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,551] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function propagate in /home/eborzone/.cache/pyg/message_passing/model_EdgeConv_propagate.py:135
[2024-03-06 15:37:42,551] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:37:42,551] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,551] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,551] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,806] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:112
[2024-03-06 15:37:42,806] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:37:42,806] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:42,806] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:43,265] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:142
[2024-03-06 15:37:43,265] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:37:43,265] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:43,265] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:43,391] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:143
[2024-03-06 15:37:43,391] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:37:43,391] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:43,391] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:43,557] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:150
[2024-03-06 15:37:43,557] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:37:43,557] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:43,557] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:43,672] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_message in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:151
[2024-03-06 15:37:43,672] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:37:43,672] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:43,672] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:43,761] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_propagate in /home/eborzone/.cache/pyg/message_passing/model_EdgeConv_propagate.py:196
[2024-03-06 15:37:43,761] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:37:43,761] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:43,761] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:43,761] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:43,938] torch._dynamo.guards.__recompiles: [DEBUG] Recompiling function resume_in_predict in /home/eborzone/Documentos/GraphEmbedderBoost/model.py:290
[2024-03-06 15:37:43,938] torch._dynamo.guards.__recompiles: [DEBUG] triggered by the following guard failure(s):
[2024-03-06 15:37:43,938] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()
[2024-03-06 15:37:43,938] torch._dynamo.guards.__recompiles: [DEBUG] - ___check_global_state()